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Drone View Target Localization On University 1

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AP

Recall@1

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	AP	Recall@1	Paper Title	Repository
FSRA	84.82	82.25	A Transformer-Based Feature Segmentation and Region Alignment Method For UAV-View Geo-Localization
RK-Net	70.23	66.13	Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization
CV-Cities	95.01	97.43	CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
Instance Loss	63.13	58.49	University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
Cross-view Consistent Attention	93.31	91.57	A Novel Geo-Localization Method for UAV and Satellite Images Using Cross-View Consistent Attention
GNN-Reranking	74.11	70.3	Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective
LPN + USAM	80.55	77.60	Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization
Sample4Geo	93.81	92.65	Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
LPN	79.14	75.93	Each Part Matters: Local Patterns Facilitate Cross-view Geo-localization
Orientation-Guided Sample4Geo	96.88	96.13	Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation	-
SAFA + USAM	75.79	72.19	Joint Representation Learning and Keypoint Detection for Cross-view Geo-localization

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